Git Product home page Git Product logo

lightpng's Introduction

lightpng PNG optimization tool for game graphics

Purpose of This Tool

PNG file processing tool to use for texture in game.

3D graphics API (OpenGL and DirectX) provides any efficiency texture formats like RGBA5551, RGB565, RGBA444 and so on. They can save graphics' memory and improve performance.

And current gaming API supports PNG file for texture. But PNG doesn't support any 16 bit per pixel formats.

This program generates a color reducted PNG file with dithering and it uses 16 bit color space only. It generates high quality PNG files by using Floyd–Steinberg dithering algorithm. So you can easy to create 16 bit texture from this file like it:

// if it has no alpha channel
png_byte  src[height][width * 3];
uint16_t  texture[height * width];
for (size_t y = 0; y < height; ++y)
{
    for (size_t x = 0; x < width; ++x)
    {
        int r = src[y][x * 3];
        int g = src[y][x * 3];
        int b = src[y][x * 3];
        texture[y * width + x] = static_cast<uint16_t>((r << 11) | (g << 5) | (b));
    }
}

PNG is east to handle for developers and designers. And the result PNG file become smaller than the original PNG file. It will help many mobile game developers.

ngCore already supports RGBA4444 and RGB565 format. You can create 16bit GL2.Texture from this PNG file directly.

Why the File becomes Smaller? / What does this tool do?

image

  • 16 Bit Conversion:

    Cut lower bits.

  • Dithering:

    Standard Floyd-Steinberg dithering.

  • Quantize(1):

    It uses libimagequant (this is a library version of pngquant).

  • Quantize(2):

    Cuts lower bits and applies Median-Cut algorithm.

  • Clean RGB:

    Sets R, G, B pixel color values to 0 if the alpha value is 0.

  • Clean Palette:

    Removes unused palette.

  • PNG zlib parameter

    It tries 4 strategies (Z_DEFAULT_STRATEGY, Z_FILTERED, Z_RLE, Z_HUFFMAN_ONLY, not Z_FIXED) x 6 filter options and decides the smallest option.

  • Zopfli

    There are two options. --optimize 2 runs zlib otpion trial (Z_DEFAULT_STRATEGY and all filter options) and then tries Zopfli compression with the smallest filter. --optimize 3 is a Brute-force method. It tries all zlib options and all Zopfli options.

How To Build

It needs the following library. You should download and decompress into the root folder of lightpng's folder:

It uses Zopfli, libimagequant as submodule. At first you should run the following command :

$ git submodule init
$ git submodule update

It uses the following libraries, but these source codes are bundled:

This repository contains a build setting file for SCons. I tested on Mac OS X with MacPorts environment, but maybe it will work on any scons/gcc environment:

$ sudo port install scons
$ scons
$ ./lightpng input.png -16m output.png

If you have MinGW environment, you can build Win32 binary in your environment :

$ sudo port install i386-mingw32-gcc scons
$ soncs --mingw32
$ wine lightpng.exe input.png -16m output.png

Usage

Use this command like this:

$ lightpng [opt] input_image [output_options]

input_image can accept .png and .jpg file.

Options

  • -o level, --optimize level:

    Set optimize level:

    • 0 - No optimize (fastest)
    • 1 - PNG zlib option optimize + index color optimize(default)
    • 2 - Use zopfli with one fiilter + 1
    • 3 - Use zopfli with all filters + 1

    level 2 and 3 gives the same results in almost all cases. Preview modes always use 0.

  • -b, --benchmark:

    Display time to process.

  • -v, --verbose:

    Display compression result.

  • -h, --help: Show this message.

Output Options

  • -16m PATH:

    16 bit PNG with 1 bit alpha (RGBA 5551). If source image doesn't have alpha, it generates RGB 565 PNG.

  • -16a PATH:

    16 bit PNG with 4 bit alpha (RGBA 4444). If source image doesn't have alpha, it generates RGB 565 PNG.

  • -16 PATH:

    It is as same as -16a .

  • -16i PATH:

    16 bit PNG with 4 bit alpha (RGBA 4444) and 256 colors palette. If source image doesn't have alpha, it generates RGB 565 PNG.

  • -32 PATH:

    24/32 bit PNG. It tries several compression option and reduce file size.

  • -32i PATH:

    24/32 bit PNG with 256 colors palette. It tries several compression option and reduce file size.

  • -p16m PATH:

    Preview mode of -16m.

  • -p16a PATH:

    Preview mode of -16a.

  • -p16 PATH:

    Preview mode of -16.

  • -p16i PATH:

    Preview mode of -16i.

Texture Mode / Preview Mode

If you want to create final output, you should use texture mode. But this file truncates unused bit, so it is not good for preview.

For example, RGBA 5551 format has only 1 bit for alpha channel. The solid color pixel's alpha value become transparent.

Before Convert

R 1100 0000
G 1111 1111
B 0000 1111
A 1111 1111

After Convert

R 1100 0000
G 1111 1000
B 0000 1000
A 1000 0000

Preview mode completes the lack of this information. You can see final image on your favorite viewer.

Sample

All samples are uploaded on Flicker.

  • Lenna: Original File (512x512): 525,521 bytes (converted from tiff file by using Preview.app)
  • Smooth UI Kit (400x300): 103,410 bytes (converted from PSD file by using Photoshop CS5)

    This file is created by Matt Gentile. Released under Creative Commons Attribution 3.0

Full color PNG (Lossless)

image

  • 473,226 bytes (lightpng lenna.png -o 2 -32 lenna_32.png)

image

  • 75,570 bytes (lightpng uikit.png -o 2 -32 uikit_32.png)

16bit(RGB565) PNG (Lossy)

image

  • 274,089 bytes (lightpng lenna.png -o 2 -16 lenna_16.png)

image

  • 59,532 bytes (lightpng uikit.png -o 2 -16 uikit_16.png)

24bit index color PNG (Lossy)

image

  • 178,214 bytes (lightpng lenna.png -o 2 -32i lenna_32i.png)

image

  • 56,506 bytes (lightpng uikit.png -o 2 -32i uikit_32i.png)

16bit(RGB565) index color PNG (Lossy)

image

  • 153,976 bytes (lightpng lenna.png -o 2 -16i lenna_16i.png)

image

  • 34,289 bytes (lightpng uikit.png -o 2 -16i uikit_16i.png)

Non-Open Source Version

This program experimentally supports compressed texture generation (pvr/atc). It needs PVRTexLib and/or AdrenoSDK. They are available here:

AdrenoSDK is proveded in Windows execution. So you need wine to install and extract needed libraries/headers.

To create this version, set following flags to scons command:

  • --no-opensource:

    Enable Texture Compression format support

  • --PVRTexLib=DIR:

    Enable PVRTC Texture Compression convert/preview feature. Default is "./PVRTexLib".

  • --AdrenoSDK=DIR:

    Enable ATITC Texture Compression convert/preview feature. Default is "~/.wine/drive_c/AdrenoSDK".

It adds following output options:

  • -pvr PATH:

    4 bpp PVRTC compressed texture file (PVR version 3). PVRTC should be square powered by two sizes. lightpng adds extra spaces to match this rule.

  • -lpvr PATH:

    4 bpp PVRTC compressed texture file with legacy format (PVR version 2).

    It is a same format as Apple's texturetool command.

  • -ppvr PATH:

    Preview mode of PVRTC.

  • -atc PATH:

    8 bpp ATITC compressed texture file. It is a just raw bit data. It doesn't contain picture size information.

  • -fatc PATH:

    8 bpp ATITC compressed texture file with header information.

  • -patc PATH:

    Preview mode of PVRTC

If you use this option, use this program for internal use. You can't distribute your modified source code and/or binary in public. If you want to reuse my source code to your product, please sent me Amazon.com or Amazon.co.jp e-mail gift to my address (yoshiki at shibu.jp).

I am reading the license of Ardeno SDK, but it maybe prohibit linking with open source tool (legal English is very difficult). If I find any good way to link with open source code, I will merge this code into main.

Note

--no-opensource and --mingw32 can not be enabled at the same time now. Please anyone tell me how to use closed source .lib via mingw32.

PVR Texture Compression Sample (Preview Mode)

image

  • (lightpng lenna.png -ppvr lenna_pvr.png)

image

  • (lightpng uikit.png -ppvr uikit_pvr.png)

ATC Texture Compression Sample (Preview Mode)

image

  • (lightpng lenna.png -patc lenna_atc.png)

image

  • (lightpng uikit.png -patc uikit_atc.png)

License

This source code is released under MIT License.

Author

Copyright

Yoshiki Shibukawa (DeNA Co.,Ltd. / ngmoco:) LLC)

Contact

yshibukawa at ngmoco.com

Thanks

This source code is created by other many people's help. Including my family, friends of Python/Sphinx communitiy, coworkers (DeNA, ngmoco) and so on.

I learned good dithering algorithm from Sc4Freak's blog (http://adtsai.blogspot.com/2011/03/high-quality-dithering-for-windows.html) and his source code. My implementation is an improvement/portable version of his code.

And thanks from Greg Roelofs (libpng author) and Jean-loup Gailly and Mark Adler (zlib authors), I can implement it in a day.

lightpng's People

Contributors

kazuyaraki avatar shibukawa avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.